Sep 11, 2018 · This paper introduces the problem of Fine-grained Incident Video Retrieval (FIVR). Given a query video, the objective is to retrieve all associated videos.
The Fine-grained Incident Video Retrieval (FIVR) is the problem where: given a query video, the objective is to retrieve all associated videos, considering ...
The FIVR-200K dataset has been collected to simulate the problem of Fine-grained Incident Video Retrieval (FIVR). The dataset comprises 225,960 videos ...
An annotated dataset of YouTube videos designed as a benchmark for Fine-grained Incident Video Retrieval. The dataset comprises 225,960 videos associated ...
Given a query video, the objective is to retrieve all associated videos, considering several types of associations that range from duplicate videos to videos.
FIVR: Fine-Grained Incident Video Retrieval - ACM Digital Library
dl.acm.org › doi › TMM.2019.2905741
This paper introduces the problem of Fine-grained Incident Video Retrieval (FIVR). Given a query video, the objective is to retrieve all associated videos, ...
In this thesis, we address the problem of Fine-grained Incident Video Retrieval (FIVR) using video similarity learning methods.
The dataset has been collected to simulate the problem of Fine-grained Incident Video Retrieval (FIVR). It comprises 225,960 videos associated with 4,687 ...
This paper constructs and presents a large-scale annotated video dataset, which it is reported that comprises 225,960 videos, and devise a protocol for the ...
Sep 23, 2019 · In this paper, we denote the overall problem as Fine-grained Incident. Video Retrieval (FIVR) and construct a large scale dataset to simulate ...